Search Results for author: Emily Toomey

Found 2 papers, 0 papers with code

A superconducting nanowire spiking element for neural networks

no code implementations29 Jul 2020 Emily Toomey, Ken Segall, Matteo Castellani, Marco Colangelo, Nancy Lynch, Karl K. Berggren

As the limits of traditional von Neumann computing come into view, the brain's ability to communicate vast quantities of information using low-power spikes has become an increasing source of inspiration for alternative architectures.

A Power Efficient Artificial Neuron Using Superconducting Nanowires

no code implementations29 Jun 2019 Emily Toomey, Ken Segall, Karl K. Berggren

Building on an architecture first proposed for Josephson junctions, we rely on the intrinsic nonlinearity of two coupled nanowires to generate spiking behavior, and use electrothermal circuit simulations to demonstrate that the nanowire neuron reproduces multiple characteristics of biological neurons.

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